Zhenxin Zhang
Papers
2
Total Citations
28
H-Index
2
About
Zhenxin Zhang is a researcher in mobile robotics, with key contributions in path planning and localization. His most cited work, "A modified artificial potential field algorithm for mobile robot path planning" (2008, 26 citations), addresses a fundamental challenge in robotics: the local minima problem in classical artificial potential field methods. Zhang proposed a novel approach combining robot regression and potential field filling, enabling more reliable navigation in complex environments. This work has been influential in advancing practical path planning for autonomous mobile robots. Additionally, his research on "A sonar data based particle filtering localization method for mobile robot" (2008) applies Bayesian filtering and Markov processes to global localization, using particle filters updated with sonar data and map information. While this paper has fewer citations, it demonstrates Zhang's broader interest in probabilistic methods for robot state estimation. His work bridges theoretical algorithms and real-world applications, contributing to the foundational techniques that enable mobile robots to navigate and localize autonomously in uncertain environments.
Research Focus
Key Achievements
Top Papers
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